Amazon Web Services, Inc.

Technology

Sr.AI/MLSpecialistSolutionsArchitect,AmazonWebServices,USSLG&EDU

$138–239k Seattle, Washington, United States FULL TIME
The Brief

“Sr. AI/ML Specialist Solutions Architect, Amazon Web Services, US SLG & EDU at Amazon Web Services, Inc.. Skills: AI, ML, Generative AI, Agentic AI. Act as trusted technical advisor. Build relationships with decision-makers”

What You'll Achieve.

Drive production usage of ML/AI at scale; Help public sector organizations navigate AI transformation; Build secure, scalable, mission-aligned AI/ML solutions; Drive meaningful outcomes for public services; Drive meaningful outcomes for student success; Drive meaningful outcomes for operational efficiency; Support customer adoption; Enable partners and ISVs; Scale impact through enablement

Industry & Context.

Technology
Problems you'll solve

Solving hard problems

Eligibility Requirements

Travel up to 30%

What They're Looking For.

Must Have

5+ years specific technology domain experience, 8+ years IT development/implementation/consulting experience, Minimum 5 years experience building production-grade AI systems, Minimum 2 years experience with modern Generative AI technologies, Minimum 2 years experience with autonomous agent frameworks, At least 4 years experience implementing AI architecture patterns, At least 4 years experience implementing MLOps practices, Minimum 3 successful deployments of enterprise-grade AI solutions, Solutions serving 1,000+ users

Nice to Have

5+ years infrastructure architecture experience, 5+ years database architecture experience, 5+ years networking experience, Experience with LangChain, LlamaIndex, CrewAI, Experience designing, developing, optimizing prompts, Experience with LLM-powered agents design, deployment, evaluation, Advanced degree in quantitative field

What You'll Do.

Act as trusted technical advisor

Build relationships with decision-makers

Guide adoption and deployment of AWS services

Design and architect AI/ML solutions

Design and architect generative AI solutions

Design and architect autonomous agent systems

Partner with customers to understand objectives

Modernize legacy systems

Ensure solutions meet requirements

Serve as thought leader in AI/ML

Develop and share technical assets

Create reference architectures

Create demo solutions

Amplify AWS thought leadership

Speak at public sector events

Contribute to technical communities

How You'll Work.

Team & Collaboration

Partner with account teams; Partner with domain specialists; Partner with business development; Work with senior engineers; Work with AWS service teams

Communication Scope

Technical content creation; Field enablement materials; Customer presentations; Partner enablement; Public speaking

Free ATS check

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